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alterground-lego-loam

The page for PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry

ament_cmake

Supporting CMake packages for working with ament

avp-slam-plus

An implementation of AVP-SLAM and some new contributions

avp-slam-sim

A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813

balm

An efficient and consistent bundle adjustment for lidar mapping

ciaozinnia.github.io

fast-livo

A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).

fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

fast_lio1_noted

仅用于学习

fast_lio2_eigen

使用Eigen重构FAST_LIO2的简洁实现

fast_lio2_noted

FAST_LIO2_Noted 中文注释版

fast_lio_lc

The tight integration of FAST-LIO with Radius-Search-based loop closure module.

fast_lio_localization

A simple localization framework that can re-localize in built maps based on FAST-LIO.

fast_lio_sam

Front_end : fastlio2 Back_end : lio_sam

fast_lio_slam

为FAST-LIO2中的ikd-tree部分添加中文注释

faster-lio

Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels

faster-lio_noted

Faster-LIO (添加中文注释)

faster_lio_sam

FASTER-LIO-SAM: A SLAM system based on iVox and GTSAM.

gndnet

GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

ieskf_slam

ieskf lio

ikd-tree-detailed

「香港大学 MaRS 实验室」开源 ikd-Tree 算法中文注释版；新增了header-only分支，便于直接嵌入工程。

ikfom

A computationally efficient and convenient toolkit of iterated Kalman filter.

imu-preintegration-propogation-doc

中文文档：IMU预积分总结与公式推导

lidar-iris

LiDAR Iris for Loop-Closure Detection(IROS 2020)

lidar-with-velocity

[RAL & IROS 2022] Lidar With Velocity: Correcting Moving Objects Point Cloud Distortion From Oscillating Scanning Lidars by Fusion With Camera

lili-om

LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

linefit_ground_segmentation

Ground Segmentation from Lidar Point Clouds

lins---lidar-inertial-slam

A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter

lio-livox

A Robust LiDAR-Inertial Odometry for Livox LiDAR